A Study of Mental Maps in Immersive Network VisualizationShow others and affiliations
2020 (English)In: 2020 IEEE Pacific Visualization Symposium (PacificVis) / [ed] Fabian Beck, Jinwook Seo & Chaoli Wang, IEEE, 2020, p. 1-10Conference paper, Published paper (Refereed)
Abstract [en]
The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immersive visualization environment compared to a traditional 2D desktop environment on the comprehension of a networks structure. We compare the two visualization environments using three tasks—interpreting network structure, memorizing a set of nodes, and identifying the structural changes—commonly used for evaluating the quality of a mental map in network visualization. The results show that participants were able to interpret network structure more accurately when viewing the network in an immersive environment, particularly for larger networks. However, we found that 2D visualizations performed better than immersive visualization for tasks that required spatial memory.
Place, publisher, year, edition, pages
IEEE, 2020. p. 1-10
Series
Visualization Symposium, Pacific (formerly Asia-Pacific APVIS), ISSN 2165-8765, E-ISSN 2165-8773
Keywords [en]
visualization, network visualization, graph drawing, immersive analytics, mental map, empirical studies
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-92526DOI: 10.1109/PacificVis48177.2020.4722ISI: 000578516400001Scopus ID: 2-s2.0-85085217018ISBN: 9781728156972 (electronic)ISBN: 9781728156989 (print)OAI: oai:DiVA.org:lnu-92526DiVA, id: diva2:1411532
Conference
13th IEEE Pacific Visualization Symposium (PacificVis '20), Tianjin, China, April 14-17, 2020
2020-03-032020-03-032021-05-07Bibliographically approved